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Computational tapered and cylinder r...
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Nguyen-Schafer, Hung.
Computational tapered and cylinder roller bearings
Record Type:
Electronic resources : Monograph/item
Title/Author:
Computational tapered and cylinder roller bearingsby Hung Nguyen-Schafer.
Author:
Nguyen-Schafer, Hung.
Published:
Cham :Springer International Publishing :2019.
Description:
ix, 114 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Roller bearingsMathematical models.
Online resource:
https://doi.org/10.1007/978-3-030-05444-1
ISBN:
9783030054441$q(electronic bk.)
Computational tapered and cylinder roller bearings
Nguyen-Schafer, Hung.
Computational tapered and cylinder roller bearings
[electronic resource] /by Hung Nguyen-Schafer. - Cham :Springer International Publishing :2019. - ix, 114 p. :ill., digital ;24 cm.
Tapered Roller Bearings -- Cylinder Roller Bearings -- Loads Acting on Gears and Bearings -- Bearing Endplay over Operating Temperatures -- Accelerated Load Spectrum -- Solving Nonlinear Equation Systems.
This monograph presents computational models that describe electro-mechanical characteristics of tapered and cylinder roller bearings in various industrial applications. Applying the Levenberg-Marquardt's algorithm to solving strongly nonlinear coupled equation systems, the computational models consisting of many circular slices per rolling element enable computations of the local Hertzian pressures at the elastohydrodynamic (EHD) contact area, the relating oil-film thickness in elastohydrodynamic lubrication (EHL), the limiting voltage of electro-pitting, bearing frictions, and fatigue lifetimes of the bearings for various load spectra. Using the best-known machine-learning method for clustering, the load spectrum is clustered in k cluster means based on the invariant damage number to accelerate the load spectrum. Furthermore, the accelerated load spectrum is used for the testing procedure of the bearings to reduce the testing time and costs as well. The target audience of this book primarily comprises graduate students in mechanical engineering and practicing engineers of electro-machines and transmission systems who want to computationally design tapered and cylinder roller bearings for the automotive industry and other industries, and to deeply dive into these relating working fields.
ISBN: 9783030054441$q(electronic bk.)
Standard No.: 10.1007/978-3-030-05444-1doiSubjects--Topical Terms:
837667
Roller bearings
--Mathematical models.
LC Class. No.: TJ1071 / .N489 2019
Dewey Class. No.: 621.822
Computational tapered and cylinder roller bearings
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Tapered Roller Bearings -- Cylinder Roller Bearings -- Loads Acting on Gears and Bearings -- Bearing Endplay over Operating Temperatures -- Accelerated Load Spectrum -- Solving Nonlinear Equation Systems.
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This monograph presents computational models that describe electro-mechanical characteristics of tapered and cylinder roller bearings in various industrial applications. Applying the Levenberg-Marquardt's algorithm to solving strongly nonlinear coupled equation systems, the computational models consisting of many circular slices per rolling element enable computations of the local Hertzian pressures at the elastohydrodynamic (EHD) contact area, the relating oil-film thickness in elastohydrodynamic lubrication (EHL), the limiting voltage of electro-pitting, bearing frictions, and fatigue lifetimes of the bearings for various load spectra. Using the best-known machine-learning method for clustering, the load spectrum is clustered in k cluster means based on the invariant damage number to accelerate the load spectrum. Furthermore, the accelerated load spectrum is used for the testing procedure of the bearings to reduce the testing time and costs as well. The target audience of this book primarily comprises graduate students in mechanical engineering and practicing engineers of electro-machines and transmission systems who want to computationally design tapered and cylinder roller bearings for the automotive industry and other industries, and to deeply dive into these relating working fields.
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EB TJ1071 N576 2019 2019
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https://doi.org/10.1007/978-3-030-05444-1
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